Estimating fundamental diagram for multi-modal signalized urban links with limited probe data

Yin, Ruyang; Zheng, Nan; Liu, Zhiyuan

doi:10.1016/j.physa.2022.128091

Cited by 7 publications

(3 citation statements)

References 42 publications

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“…However, several studies focused on using FCD only. Thus, different approaches to estimating the FD have been proposed, using public transport and private car GPS data [22], logistic trucks and vans that were connected to the Internet for fleet management purposes [23], and private users' GPS data [24,25]. Since LDD and FCD are usually available, some previous works show the joint use of both data sources in improving the overall estimation of the FD.…”

Section: Estimation Of Fd With Fcdmentioning

confidence: 99%

Estimation of a Fundamental Diagram with Heterogeneous Data Sources: Experimentation in the City of Santander

Alonso,

Musolino,

Rindone

et al. 2023

IJGI

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The reduction of urban congestion represents one of the main challenges for increasing sustainability. This implies the necessity to increase our knowledge of urban mobility and traffic. The fundamental diagram (FD) is a possible tool for analyzing the traffic conditions on an urban road link. FD is commonly associated with the links of a transport network, but it has recently been extended to the whole transport network and named the network macroscopic fundamental diagram (NMFD). When used at the link or network level, the FD is important for supporting the simulation, design, planning, and control of the transport system. Recently, floating car data (FCD), which are based on vehicles’ trajectories using GPS, are able to provide the trajectories of a number of vehicles circulating on the network. The objective of this paper is to integrate FCD with traffic data obtained from traditional loop-detector technology for building FDs. Its research contribution concerns the proposal of a methodology for the extraction of speed data from taxi FCD, corresponding to a specific link section, and the calibration of FDs from FCD and loop detector data. The methodology has been applied to a real case in the city of Santander. The first results presented are encouraging, supporting the paper’s thesis that FCD can be integrated with data obtained from loop detectors to build FD.

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Section: Estimation Of Fd With Fcdmentioning

confidence: 99%

Estimation of a Fundamental Diagram with Heterogeneous Data Sources: Experimentation in the City of Santander

Alonso,

Musolino,

Rindone

et al. 2023

IJGI

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“…Signal controllers are calibrated such that the vertical directions have a green wave. Each link is 250 m long, and the speed limit is 50 km/ h. In the model, trapezoidal MFDs are used with the jam density being ρ J = 150 veh/km/lane, the peak capacity is Q C = 1800 veh/ h/lane (stemming from the rule of thumb that a half vehicle can cross a signalized intersection each second, [62], [65], [66], [67]). The free flow velocity v f = 50 km/ h and the offset between ρ C l and ρ C r is 40 veh/km.…”

Section: A Grid Networkmentioning

confidence: 99%

Jam Propagation Analysis With Mesoscopic Traffic Simulation

Varga,

Tettamanti

2023

IEEE Trans. Intell. Transport. Syst.

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Road traffic simulation is becoming more important as the complexity and multi-modality of traffic grow with the evolution of novel transportation and automotive technologies. There are several ways to mimic traffic dynamics. However, realistic modeling traffic has a clear trade-off between accuracy and simulation processing time. Obviously, the more detailed traffic dynamics are sought, the more calculation is needed. The paper offers a compromise solution introducing a novel mesoscopic traffic simulation framework applicable on an arbitrary network level. The mathematical background of the simulation is provided as the extension of the shockwave profile model (SPM), distinguishing three continuous traffic states on a link. Extension of the model is done by means of a weighted directed graph where the dynamic edge weights are the queue lengths on each link. The model can handle both signalized and unsignalized road links. An important opportunity of the proposed network SPM approach is the analysis of traffic jam propagation and bottleneck detection. The presented mesoscopic simulator is validated based on both synthetic and real-world traffic networks using fleet traffic data. The simulated queue length in the mesoscopic simulation accurately matches the microscopic traffic simulation results.

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“…Fundamental diagrams are often calibrated by the data from loop detectors. Recent methods also tried to calibrate fundamental diagrams by floating vehicle data [11,12]; this paper pertains to the more common approach that uses detector data. Qu et al [13] pointed out that the calibration method, e.g., the least-squares (LS) method, can cause inaccurate/biased parameter estimations for single-regime models due to the uneven distribution of speed-density observations.…”

Section: Introductionmentioning

confidence: 99%

Bayesian Calibration of Traffic Flow Fundamental Diagrams Using Gaussian Processes

Cheng

Wang

Chen

et al. 2022

IEEE Open J. Intell. Transp. Syst.

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Estimating fundamental diagram for multi-modal signalized urban links with limited probe data

Cited by 7 publications

References 42 publications

Estimation of a Fundamental Diagram with Heterogeneous Data Sources: Experimentation in the City of Santander

Estimation of a Fundamental Diagram with Heterogeneous Data Sources: Experimentation in the City of Santander

Jam Propagation Analysis With Mesoscopic Traffic Simulation

Bayesian Calibration of Traffic Flow Fundamental Diagrams Using Gaussian Processes

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